OpenML
2325105

Run 2325105

Task 3889 (Supervised Classification) sylva_agnostic Uploaded 23-05-2017 by OpenML_Bot R
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  • botV1 mlrRandomBot sciBenchV1.0
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Flow

mlr.classif.svm(7)Learner mlr.classif.svm from package(s) e1071.
mlr.classif.svm(7)_cost0.284577637708044
mlr.classif.svm(7)_kernelpolynomial
mlr.classif.svm(7)_degree5
mlr.classif.svm(7)_openml.seed1
mlr.classif.svm(7)_openml.kindMersenne-Twister
mlr.classif.svm(7)_openml.normal.kindInversion

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.9937
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9827
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.8468
Cross-validation details (10-fold Crossvalidation)
KB relative information score
10619.3908
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0257
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1156
Cross-validation details (10-fold Crossvalidation)
Number of instances
14395
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.9826
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9831
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.3338
Cross-validation details (10-fold Crossvalidation)
Recall
0.9831
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2223
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2403
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1129
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.4696
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1855.0232
UserCPU time millis
3447.623
UserCPU time millis testing
9.827
UserCPU time millis training
3437.796